Mandatory when applicable
set of elements
Mandatory and recommended elements
|typesystem||Mandatory when applicable||resourceName & optional resourceIdentifier|
|annotationSchema||Mandatory when applicable||resourceName & optional resourceIdentifier|
|annotationResource||Mandatory when applicable||resourceName & optional resourceIdentifier|
|mlModel||Mandatory when applicable||resourceName & optional resourceIdentifier|
- typesystem: A set of elements designed to annotate data. It typically contains only a list of annotation types, i.e. specific labels that are used for the annotation (e.g. part-of-speech, person, organization, etc.), and is usually inbuilt in the annotation software.
- annotationSchema: A set of elements and values designed to annotate data. It usually consists in a formal representation. It aims to represent a specific level of information, such as morphological features of words, syntactic dependency relations between phrases, discourse level information etc. It can consist of a flat structure of elements and values (e.g. part-of-speech tags) or it can be more complex with interrelated elements (e.g. specific morphological features to be used for each part-of-speech)
mlModel: The model artifact that is created through a training process involving an ML algorithm (that is, the learning algorithm) and the training data to learn from.